Why the study?
Do illness severity scoring systems accurately predict mortality in vascular ICU admissions?
Do illness severity scoring systems accurately predict mortality in vascular ICU admissions?
Illness severity scoring systems demonstrate good discrimination for predicting mortality in vascular ICU patients, supporting their use as an adjunct to clinical assessment rather than for individual decision-making.
Scoring systems show variable accuracy in vascular ICU patients; leaves open need for dedicated validation or vascular-specific models.
INTRODUCTION: This study examines the predictive value of intensive care unit (ICU) scoring systems in a vascular ICU population. METHODS: From April 2005 to September 2011, we examined 363 consecutive ICU admissions. Simplified Acute Physiology Score II (SAPS II), Acute Physiology and Chronic Health Evaluation II (APACHE II), APACHE IV, Multiple Organ Dysfunction Score (MODS), organ dysfunctions and/or infection (ODIN), mortality prediction model (MPM) and physiologic and operative severity score for the enumeration of mortality and morbidity (POSSUM) were calculated. The Glasgow Aneurysm Score (GAS) was calculated for patients with aneurysm-related admissions. RESULTS: Overall mortality for complex vascular intervention was 11.6%. At admission, the areas under the receiver operating characteristic curve (AUCs) was 0.884 for SAPS II, 0.894 for APACHE II, 0.895 for APACHE IV, 0.902 for MODS, 0.891 for ODIN and 0.903 for MPM. At 24 h, model discrimination was best for POSSUM (AUC = 0.906) and MPM (AUC = 0.912). CONCLUSION: The good discrimination of these scoring systems indicates their value as an adjunct to clinical assessment but should not be used on an individual basis as a clinical decision-making tool.
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Dover et al. (2015) studied this question.
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